Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/3637#issuecomment-74562509
@petro-rudenko (Apologies for the slow response; I've been without
Internet for a week.) About feature scaling, I don't think it's a problem in
terms of correctness for LogisticRegression since scaling twice should produce
the same result as scaling once (since it handles scaling at prediction time
too). It is wasted computation though.
For GLMs, you should be able to call setValidateData:
[https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala#L156]
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